Productivity and unemployment: a scale-by-scale panel data analysis for the G7 countries

Marco Gallegati, Mauro Gallegati, Ramsey James B. and Willi Semmler
Additional contact information
Ramsey James B.: Department of Economics, New York University, New York, NY, USA

Studies in Nonlinear Dynamics & Econometrics, 2016, vol. 20, issue 4, 477-493

Abstract: Does productivity growth increase or reduce unemployment? Theoretical and empirical analyses have generally provided mixed results. In this paper we analyze the empirical relationship between productivity and unemployment over different time frames using wavelet analysis. The scale-by-scale results from panel data and nonparametric regressions methods indicate that productivity-unemployment relationship is scale-dependent, that is changes over different time horizons. Specifically, productivity growth creates unemployment in the short and medium terms, but employment in the long run.

Keywords: panel data; productivity growth; unemployment; wavelets (search for similar items in EconPapers)
JEL-codes: C1 C3 C5 E3 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://doi.org/10.1515/snde-2014-0053 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:sndecm:v:20:y:2016:i:4:p:477-493:n:1

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/snde/html

DOI: 10.1515/snde-2014-0053

Access Statistics for this article

Studies in Nonlinear Dynamics & Econometrics is currently edited by Bruce Mizrach

More articles in Studies in Nonlinear Dynamics & Econometrics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().